\(\bullet \)
implement further speed improvements of the \(\mathsf {s} +\mathsf {g_H} \)  solver. Deep learning techniques would likely accelerate the algorithm by replacing steps considered as bottlenecks [1]}, [2]};
\(\bullet \)
use other non-linear solutions to explore the lens model parameter space. An interesting direction to explore is free-likelihood techniques with extreme data compression [3]};
\(\bullet \)
pre-optimise the lens model using faster modeling techniques (e.g. shapelets), so only a few “refinement” steps are needed using starlet regularisation.

